Oxidative Phosphorylation-Related Signature Participates in Cancer Development, and PTPRG Overexpression Suppresses the Cancer Progression in Clear Cell Renal Cell Carcinoma by Liang Huang, Yu Xie, Weiqing Han, Shusuan Jiang, Lingfeng Zeng

“…Subsequently, we performed weighted gene coexpression network analysis to select cluster-related genes and performed functional analysis for them. …”
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Multitask and Transfer Learning Approach for Joint Classification and Severity Estimation of Dysphonia by Dosti Aziz, Sztaho David

“…Additionally, we conducted binary ‘healthy vs. dysphonia’ and multiclass ‘healthy vs. organic and functional dysphonia’ classification using multitask learning, with the speaker’s sex as an auxiliary task. …”
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Strategy for Low-Carbon Economic Operation in Industrial Parks Considering Carbon Flow Demand Response by SUN Xiaotian, WEI Zhinong, CHEN Sheng, HUANG Manyun, SUN Guoqiang

“…[Objective] This study proposes a low-carbon economic operation strategy for industrial parks， aiming to accurately account for carbon emissions across all operational processes in distribution networks and clarify carbon responsibility sharing among stakeholders， thereby achieving low-carbon economic operation. …”
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Hemoglobin-associated CALR in proximal tubule cells can be used as a biomarker for idiopathic membranous nephropathy by Shuting Pang, Shuting Pang, Qiuyan Tan, Qiuyan Tan, Boji Xie, Boji Xie, Bingmei Feng, Rongbin Zhou, Zige Liu, Zige Liu, Haiyuan Wei, Yian Huang, Mujia Jili, Yuli Xie, Yuli Xie, Shanshan Li, Shanshan Li, Binran Zhao, Binran Zhao, Wei Li, Rirong Yang, Rirong Yang

“…By integrating these data with single-cell RNA sequencing (scRNA-seq) data from IMN and healthy kidney tissues, we performed comprehensive analyses including: Inflammatory index assessment, Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis, Gene Ontology (GO) functional annotation, Gene Set Enrichment Analysis (GSEA) enrichment analysis, Protein-Protein Interaction (PPI) network construction. …”
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Electronic money in russia: current state and problems of development by T. G. Bondarenko, E. A. Isaeva

“…In article theoretical bases of electronic money functioning are described. Determinations and classifications dismissed non-cash a method, and also the principles of electronic money functioning are considered, the questions of their historical development are raised.Authors analyzed statistical data on development of electronic services and channels of their using. …”
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Neural mechanisms in resolving prior and likelihood uncertainty in scene recognition by Kojiro Hayashi, Risa Katayama, Keisuke Fujimoto, Wako Yoshida, Shin Ishii

“…By combining these AI-generated images with the task, we conducted a functional magnetic resonance imaging (fMRI) experiment enabling systematic control of both likelihood and prior information. …”
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Metagenomic and Metabolomic Perspectives on the Drought Tolerance of Broomcorn Millet (<i>Panicum miliaceum</i> L.) by Yuhan Liu, Jiangling Ren, Binhong Yu, Sichen Liu, Xiaoning Cao

“…On this basis, an analysis was conducted in combination with the differences in functional pathways. …”
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Lithiophilic Interlayer with Electrolyte-Reservoir and Dendrite-Buffer for High-Performance Lithium Metal Batteries by Huasen Shen, Guoning Wu, Tingting Ma, Mengjun Li, Yunan Tian, Si Chen, Shaojun Cai, Zhaohuai Li

“…The uniform deposition of Li is facilitated by the synergistic interplay of the lithiophilic active sites TiN, the conductive CNT network, and excellent electrolyte wettability of nanocellulose. …”
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Understanding Hydration in CPO‐27 Metal‐Organic Frameworks: Strong Impact of the Chemical Nature of the Metal (Cu, Zn) by Marvin Kloß, Michael Beerbaum, Dominik Baier, Christian Weinberger, Frederik Zysk, Hossam Elgabarty, Thomas D. Kühne, Michael Tiemann

“…Additional water molecules are stepwise incorporated at defined positions, forming a network of H‐bonds with the framework and with each other. …”
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Alzheimer's disease: a comprehensive review of epidemiology, risk factors, symptoms diagnosis, management, caregiving, advanced treatments and associated challenges by Saeid Safiri, Saeid Safiri, Amir Ghaffari Jolfayi, Asra Fazlollahi, Soroush Morsali, Soroush Morsali, Aila Sarkesh, Amin Daei Sorkhabi, Behnam Golabi, Reza Aletaha, Kimia Motlagh Asghari, Sana Hamidi, Sana Hamidi, Seyed Ehsan Mousavi, Sepehr Jamalkhani, Nahid Karamzad, Nahid Karamzad, Ali Shamekh, Reza Mohammadinasab, Mark J. M. Sullman, Mark J. M. Sullman, Fikrettin Şahin, Ali-Asghar Kolahi

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Unmanned Aerial Vehicle Path Planning in Complex Dynamic Environments Based on Deep Reinforcement Learning by Jiandong Liu, Wei Luo, Guoqing Zhang, Ruihao Li

“…Concurrently, a novel data storage system for deep Q-networks (DQN), named dynamic data memory (DDM), is introduced to hasten the learning process and convergence for UAVs. …”
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Bibliometric Analysis of the Status and Trends of Seamounts’ Research and Their Conservation by Maria Luisa Pica, Francesco Rendina, Adele Cocozza di Montanara, Giovanni Fulvio Russo

“…In this study, a bibliometric analysis of the scientific literature related to seamounts and their conservation was conducted. The analysis allowed for the generation of network maps displaying the relationships among keywords and countries. …”
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Strengthening preparedness and response to epidemics in West Africa: a scoping review of strengths, gaps, and challenges (2016-2019) by Virgil Lokossou, Emma Edinam Kploanyi, Delia Akosua Bandoh, Edgard-Marius Ouendo, Issiaka Sombie, Kofi Mensah Nyarko, Ernest Kenu

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Deep generative model for the inverse design of Van der Waals heterostructures by Shikun Gao, Qinyuan Huang, Chen Huang, Cheng Li, Kaihao Liu, Baisheng Sa, Yadong Yu, Dezhen Xue, Zhe Liu, Mengyan Dai

“…To address the challenges of traditional experimental methods relying on trial-and-error and existing models struggling to incorporate target property constraints, this work achieves breakthroughs through three innovative stages: (1) introduce the SE(3)-equivariant graph neural network EquiformerV2 as the encoder-decoder within the CDVAE framework to enhance the generation quality of the model; (2) design a module integrating Low-rank Multimodal Fusion and Generative Adversarial Networks to map properties and structures into a joint latent space; and (3) for the first time propose a generative model for the vdW heterostructures, by conducting experimental validation on the dataset constructed from Janus III–VI vdW heterostructures. …”
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Deep Learning Forecasting Model for Market Demand of Electric Vehicles by Ahmed Ihsan Simsek, Erdinç Koç, Beste Desticioglu Tasdemir, Ahmet Aksöz, Muammer Turkoglu, Abdulkadir Sengur

“…This model, called EVs-PredNet, is developed using deep learning methods such as LSTM (Long Short-Term Memory) and CNNs (Convolutional Neural Networks). The model comprises convolutional, activation function, max pooling, LSTM, and dense layers. …”
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ADMINISTRATION AND MARKETING OF ANTI-CRISIS MANAGEMENT AT THE DAIRY PLANT AS A STRATEGIC OBJECT DURING THE WARTIME by Natalia Koval, Oksana Kubai, Natalia Germaniuk

“… The article conducts an analysis of the distinctive features of marketing management and anti-crisis administration at the dairy plants as strategic objects under martial law. …”
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Multi-Scale DCNN with Dynamic Weight and Part Cross-Entropy Loss for Skin Lesion Diagnosis by Gaoshuai Wang, Linrunjia Liu, Fabrice Lauri, Amir HAJJAM El Hassani

“…Multi-scale DCNN with dynamic weight and part loss function verifies its advantages in enhancing diagnosis accuracy.…”
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What Online User Innovation Communities Can Teach Us about Capturing the Experiences of Patients Living with Chronic Health Conditions. A Scoping Review. by Julia Amann, Claudia Zanini, Sara Rubinelli

“…<h4>Methods</h4>A scoping review was conducted. A total of seven databases were searched for scientific articles published in English between 1995 and 2014. …”
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YOLO-MARS: An Enhanced YOLOv8n for Small Object Detection in UAV Aerial Imagery by Guofeng Zhang, Yanfei Peng, Jincheng Li

“…Thirdly, a multi-scale SGCS-FPN fusion architecture is proposed, adding a shallow feature guidance branch to establish cross-level semantic associations, thereby effectively addressing the issue of small target loss in deep networks. Finally, a dynamic WIoU evaluation function is implemented, constructing adaptive penalty terms based on the spatial distribution characteristics of predicted and ground-truth bounding boxes, thereby optimizing the boundary localization accuracy of densely packed small targets from the UAV viewpoint. …”
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An integrated bioinformatics and machine learning approach to identifying biomarkers connecting parkinson’s disease with purine metabolism-related genes by Yao Wang, Dongchuan Wu, Man Zheng, Tiantian Yang

“…A key area of investigation is the disruption of oncological metabolic networks in PD, where diseased cells display distinct metabolic profiles compared to healthy counterparts. …”
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